Future Tech Jobs
Future Tech Jobs
You will play a key role in NVIDIA's JAX development, designing and implementing core components to optimize performance on NVIDIA products. Collaborate with AI researchers to build efficient, future-proof models and tools that bridge the gap between numerical computing and real-world applications.
You will play a key role in NVIDIA's JAX development, designing and implementing core components to optimize performance on NVIDIA products. Collaborate with AI researchers to build advanced models and tools that enhance the efficiency of AI systems, bridging the gap between cutting-edge research and real-world applications.
This role involves designing, building, and operating cloud-native AI platform infrastructure across AWS and Databricks. Responsibilities include deploying and scaling containerised services, managing CI/CD pipelines, and implementing observability and security measures for AI workloads.
This role involves managing large-scale AWS and Azure cloud environments, focusing on automation, security, and operational excellence. Key responsibilities include leading disaster recovery efforts, automating infrastructure with Terraform and PowerShell, and collaborating with security teams to ensure compliance.
The Lead Engineer role in the AI Productivity Lab involves accelerating employee productivity and process automation through cutting-edge agentic co-working technologies. Responsibilities include building domain-specific agents, prototyping solutions, and collaborating with business teams to embed AI-driven tools into daily operations.
The role involves working with a multidisciplinary team to study high-impact societal risks caused by advanced AI deployment. Responsibilities include designing and implementing experiments, building data pipelines, and evaluating AI models to inform mitigation strategies.
This role involves designing and building production-grade AI systems that integrate LLMs, RAG pipelines, vector databases, and agentic frameworks. You'll work on technically demanding challenges, create evaluation and observability frameworks, and implement retrieval systems, all while collaborating with clients and internal teams to deliver reliable AI products.
This role involves leading the design, development, and deployment of advanced AI solutions in financial services and capital markets. Responsibilities include building AI prototypes, integrating with enterprise systems, working with LLMs, and supporting MLOps practices. The role requires strong Python and SQL skills, experience with LLMs, vector databases, and cloud platforms, and the ability to collaborate with multidisciplinary teams.
This role involves designing and implementing AI-enhanced security controls, detection pipelines, and automation workflows. You will work across teams to integrate AI into security operations, improve threat detection, and enhance security visibility and response.
This role involves designing and delivering end-to-end agentic AI and LLM-based solutions for a leading investment house. You will work closely with business stakeholders to understand workflows, prototype AI systems, and integrate these solutions into existing enterprise systems, focusing on rapid delivery and measurable business impact.
This role involves acting as a senior Microsoft Data & Fabric authority in pre-sales and early client engagements, designing end-to-end architectures, preparing and delivering POCs, and leading discovery sessions with senior stakeholders. The position offers the opportunity to shape how Microsoft Fabric solutions are positioned and adopted, with a focus on modern data platforms and AI/ML enablement.
The Principal Engineer role in the AI Productivity Lab involves leading the design and implementation of AI-driven solutions to enhance employee productivity and process automation. You will work closely with the Head of the Lab and business stakeholders to embed AI agents into team workflows, develop reusable capabilities, and mentor engineers.
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy.They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of...
This role involves providing technical leadership and hands-on engineering in security architecture, cryptography, IAM, and cloud-native platforms. You will work closely with engineers, data scientists, and security stakeholders to design and implement robust security solutions, perform audits, and drive the adoption of modern cryptographic technologies. The role is critical for safeguarding innovation and ensuring secure-by-design practices in a large, regulated financial organization.
This role involves building and evolving backend services for AI-driven products used by global media organizations. You will focus on scalability, performance, and reliability, working closely with Product and Data Science teams to enhance the platform's core systems.
